Data Engineer – Health Data Metrics

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Keebler Health

WebsiteLinkedInAll Job Openings

1 - 10 employees

🏥 Healthcare

💼 Consulting

🤖 Artificial Intelligence

Healthcare • Consulting • Artificial Intelligence

Keebler Health is an AI-first risk adjustment platform designed to improve accuracy and provide clinical decision support for risk-bearing healthcare organizations. The platform uses a next-generation transformer tailored for risk adjustment to surface HCC coding opportunities with transparency, confidence scores, evidence and counterfactual explanations, and to support CDI, coding, audit, and pre-visit planning workflows. It integrates diverse data sources (FHIR, HIE, faxes, and other messy data) and is delivered as an enterprise SaaS solution for health insurers and provider organizations.

📋 Description

• Lead efforts around reporting scalable metrics for healthcare data and AI-driven suggestions • Design, build, and maintain scalable, efficient ETL/ELT data pipelines on AWS • Develop, test, and deploy solutions using SQL and Python for data transformation and analysis • Implement and manage data warehousing solutions using Redshift Serverless and other AWS data services • Use dbt for data modeling, transformation, and documentation • Use workflow orchestration tools such as Temporal for pipeline automation • Work with healthcare quality metrics for value-based care and align data with industry standards • Integrate population health tools and analytics into data workflows with stakeholders • Maintain familiarity with FHIR data models and interoperability standards • Ensure compliance with HIPAA and other healthcare regulations • Identify and resolve data pipeline performance bottlenecks • Optimize data storage and query performance in Redshift Serverless and AWS • Incorporate emerging data engineering and healthcare technology innovations • Partner with data and engineering teams to ensure data accessibility and business alignment • Develop scalable solutions integrating complex healthcare datasets while ensuring data quality and accuracy • Contribute to secure, scalable, and efficient AWS data architecture

🎯 Requirements

• Must be US based; no foreign applicants will be considered • Proven experience in data engineering roles with expertise in SQL, Python, and AWS cloud-based data infrastructure • Experience with dbt and Spark/PySpark for data transformation and modeling • Familiarity with healthcare data systems, including HEDIS metrics, population health tools, and FHIR data models • Knowledge of data warehousing and workflow orchestration tools • Strong understanding of healthcare data standards, including FHIR, HL7, and CQL • Hands-on experience with data modeling, normalization, and schema design for complex datasets • Experience designing and building scalable, production-grade data pipelines using Airflow, Dagster, or Temporal • Hands-on experience with AWS Glue, EMR, Iceberg, Redshift Serverless, S3, Lambda, and related technologies • Strong experience with dbt, Spark/PySpark, and Pandas • Experience designing and operating HIPAA-compliant data architectures and handling sensitive healthcare data • Demonstrated ability to optimize data pipelines for performance, scalability, and reliability in cloud environments • Experience with Infrastructure as Code tools such as Terraform • Strong problem-solving skills and attention to detail when working with large, complex, and heterogeneous datasets • Resume and a highly personalized, bold, and hilarious Keebler Health–style introduction required when applying

🏖️ Benefits

• Competitive salary and benefits package • Professional growth and development opportunities • Collaborative and supportive team culture • Opportunity to work in a fast-paced, innovative environment • Chance to make a meaningful impact on the healthcare industry